Sino-Canada Resources and Environmental Research Academy, North China Electric Power University, Beijing 102206, PR China.
Chemosphere. 2013 Oct;93(7):1247-57. doi: 10.1016/j.chemosphere.2013.06.064. Epub 2013 Jul 20.
Composting has been used as a method to dispose food waste (FW) and recycle organic matter to improve soil structure and fertility. Considering the significance of composting in FW treatment, many researchers have paid their attention on how to improve FW composting efficiency, reduce operating cost, and mitigate the associated environmental damage. This review focuses on the overall studies of FW composting, not only various parameters significantly affecting the processes and final results, but also a number of simulation approaches that are greatly instrumental in well understanding the process mechanism and/or results prediction. Implications of many key ingredients on FW composting performance are also discussed. Perspects of effective laboratory experiments and computer-based simulation are finally investigated, demonstrating many demanding areas for enhanced research efforts, which include the screening of multi-functional additives, volatile organiccompound emission control, necessity of modeling and post-modeling analysis, and usefulness of developing more conjunctive AI-based process control techniques.
堆肥已被用作处理食物垃圾(FW)和回收有机物的方法,以改善土壤结构和肥力。考虑到堆肥在 FW 处理中的重要性,许多研究人员已经关注如何提高 FW 堆肥效率、降低运营成本和减轻相关的环境破坏。本综述重点介绍了 FW 堆肥的整体研究,不仅包括对过程和最终结果有显著影响的各种参数,还包括一些模拟方法,这些方法对深入了解过程机制和/或结果预测非常有帮助。还讨论了许多关键成分对 FW 堆肥性能的影响。最后还探讨了有效实验室实验和基于计算机的模拟的前景,展示了需要加强研究努力的多个领域,包括多功能添加剂的筛选、挥发性有机化合物排放控制、建模和后建模分析的必要性,以及开发更多基于人工智能的联合过程控制技术的有用性。